Cited by 288Dementia and Cognitive Impairment ResearchAlzheimer's disease research and treatmentsCancer-related cognitive impairment studies

Biomarkers in Alzheimer’s disease: role in early and differential diagnosis and recognition of atypical variants

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Dubois, Bruno, von Arnim, Christine A. F., Burnie, Nerida, Bozeat, Sasha, Cummings, Jeffrey·2023·Alzheimer's Research & Therapy

Abstract

Background: Development of in vivo biomarkers has shifted the diagnosis of Alzheimer’s disease (AD) from the later dementia stages of disease towards the earlier stages and has introduced the potential for pre-symptomatic diagnosis. The International Working Group recommends that AD diagnosis is restricted in the clinical setting to people with specific AD phenotypes and supportive biomarker findings. Main body: In this review, we discuss the phenotypic presentation and use of biomarkers for the early diagnosis of typical and atypical AD and describe how this can support clinical decision making, benefit patient communication, and improve the patient journey. Early diagnosis is essential to optimize the benefits of available and emerging treatments. As atypical presentations of AD often mimic other dementias, differential diagnosis can be challenging and can be facilitated using AD biomarkers. However, AD biomarkers alone are not sufficient to confidently diagnose AD or predict disease progression and should be supplementary to clinical assessment to help inform the diagnosis of AD. Conclusions: Use of AD biomarkers with incorporation of atypical AD phenotypes into diagnostic criteria will allow earlier diagnosis of patients with atypical clinical presentations that otherwise would have been misdiagnosed and treated inappropriately. Early diagnosis is essential to guide informed discussion, appropriate care and support, and individualized treatment. It is hoped that disease-modifying treatments will impact the underlying AD pathology; thus, determining the patient’s AD phenotype will be a critical factor in guiding the therapeutic approach and the assessment of the effects of interventions.

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  • AD diagnosis relies on detecting amyloid and tau pathology via PET, MRI, and CSF analysis.

    “AD diagnosis relies on detecting amyloid and tau pathology via positron emission tomography (PET), magnetic resonance imaging (MRI), and cerebrospinal fluid (CSF) analysis [8,9,10].”

    From Theranostic Nanoplatforms for Alzheimer's Disease: A Critical Analysis of Conceptual Contradictions (2026) · cites this paper as [10]

    The PET markers and CSF biomarkers sections describe tests for amyloid and tau pathology. The MRI markers section instead describes structural MRI as showing atrophy and neurodegeneration, not directly detecting amyloid and tau. The section on clinical assessment also says biomarkers supplement, rather than replace, clinical assessment for AD diagnosis (page numbers unavailable in our copy). (LLM, conf=0.90)

    Experimental — accuracy not yet measured
  • Major advances have been made in fluid and imaging biomarkers to diagnose and track AD progression in clinical trials.

    “Major advances have been made in fluid and imaging biomarkers to diagnose and track AD progression in clinical trials [17]; however, biomarker discovery in the senescence field is in its infancy [18].”

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Research works printed but not linked: 59

  1. [3]Jellinger KA Recent update on the heterogeneity of the Alzheimer’s disease spectrum J Neural Transm 2022 129 1 24 10.1007/s00702-021-02449-2 34919190 · DOI
  2. [5]Dubois B Feldman HH Jacova C Hampel H Molinuevo JL Blennow K Advancing research diagnostic criteria for Alzheimer’s disease: the IWG-2 criteria Lancet Neurol 2014 13 614 629 10.1016/S1474-4422(14)70090-0 24849862 · DOI · Paper page
  3. [6]Villain N Dubois B Alzheimer’s disease including focal presentations Semin Neurol 2019 39 213 226 10.1055/s-0039-1681041 30925614 · DOI · Paper page
  4. [7]Brookmeyer R Corrada MM Curriero FC Kawas C Survival following a diagnosis of Alzheimer disease Arch Neurol 2002 59 1764 1767 10.1001/archneur.59.11.1764 12433264 · DOI
  5. [9]Rasmussen J Langerman H Alzheimer’s disease - why we need early diagnosis Degener Neurol Neuromuscul Dis 2019 9 123 130 31920420 PMC6935598
  6. [12]Snowden JS Stopford CL Julien CL Thompson JC Davidson Y Gibbons L Cognitive phenotypes in Alzheimer’s disease and genetic risk Cortex 2007 43 835 845 10.1016/S0010-9452(08)70683-X 17941342 · DOI · Paper page
  7. [13]Sarazin M Chauviré V Gerardin E Colliot O Kinkingnéhun S de Souza LC The amnestic syndrome of hippocampal type in Alzheimer’s disease: an MRI study J Alzheimers Dis 2010 22 285 294 10.3233/JAD-2010-091150 20847406 · DOI
  8. [14]Grober E Buschke H Genuine memory deficits in dementia Dev Neuropsychol 1987 3 13 36 10.1080/87565648709540361 · DOI
  9. [15]Gorno-Tempini ML Hillis AE Weintraub S Kertesz A Mendez M Cappa SF Classification of primary progressive aphasia and its variants Neurology 2011 76 1006 1014 10.1212/WNL.0b013e31821103e6 21325651 PMC3059138 · DOI · Paper page
  10. [16]Crutch SJ Schott JM Rabinovici GD Murray M Snowden JS van der Flier WM Consensus classification of posterior cortical atrophy Alzheimers Dement 2017 13 870 884 10.1016/j.jalz.2017.01.014 28259709 PMC5788455 · DOI · Paper page
  11. [17]Armstrong MJ Litvan I Lang AE Bak TH Bhatia KP Borroni B Criteria for the diagnosis of corticobasal degeneration Neurology 2013 80 496 503 10.1212/WNL.0b013e31827f0fd1 23359374 PMC3590050 · DOI · Paper page
  12. [18]Ossenkoppele R Pijnenburg YA Perry DC Cohn-Sheehy BI Scheltens NM Vogel JW The behavioural/dysexecutive variant of Alzheimer’s disease: clinical, neuroimaging and pathological features Brain 2015 138 2732 2749 10.1093/brain/awv191 26141491 PMC4623840 · DOI · Paper page
  13. [20]Minoshima S Cross D Thientunyakit T Foster NL Drzezga A 18F-FDG PET imaging in neurodegenerative dementing disorders: insights into subtype classification, emerging disease categories, and mixed dementia with copathologies J Nucl Med 2022 63 2s 12s 10.2967/jnumed.121.263194 35649653 · DOI
  14. [21]Koga S Josephs KA Aiba I Yoshida M Dickson DW Neuropathology and emerging biomarkers in corticobasal syndrome J Neurol Neurosurg Psychiatry 2022 93 919 929 10.1136/jnnp-2021-328586 35697501 PMC9380481 · DOI
  15. [22]Ossenkoppele R Schonhaut DR Schöll M Lockhart SN Ayakta N Baker SL Tau PET patterns mirror clinical and neuroanatomical variability in Alzheimer’s disease Brain 2016 139 1551 1567 10.1093/brain/aww027 26962052 PMC5006248 · DOI · Paper page
  16. [24]Josephs KA Whitwell JL Boeve BF Knopman DS Petersen RC Hu WT Anatomical differences between CBS-corticobasal degeneration and CBS-Alzheimer’s disease Mov Disord 2010 25 1246 1252 10.1002/mds.23062 20629131 PMC2921765 · DOI
  17. [25]Pillai JA Bonner-Jackson A Bekris LM Safar J Bena J Leverenz JB Highly elevated cerebrospinal fluid total tau level reflects higher likelihood of non-amnestic subtype of Alzheimer’s disease J Alzheimers Dis 2019 70 1051 1058 10.3233/JAD-190519 31306137 PMC7086408 · DOI
  18. [26]Vogelgsang J Shahpasand-Kroner H Vogelgsang R Streit F Vukovich R Wiltfang J Multiplex immunoassay measurement of amyloid-beta(42) to amyloid-beta(40) ratio in plasma discriminates between dementia due to Alzheimer’s disease and dementia not due to Alzheimer’s disease Exp Brain Res 2018 236 1241 1250 10.1007/s00221-018-5210-x 29480353 · DOI
  19. [28]Benedet AL Brum WS Hansson O Karikari TK Zimmer ER Zetterberg H The accuracy and robustness of plasma biomarker models for amyloid PET positivity Alzheimers Res Ther 2022 14 26 10.1186/s13195-021-00942-0 35130933 PMC8819863 · DOI
  20. [29]Graff-Radford J Yong KXX Apostolova LG Bouwman FH Carrillo MC Dickerson MC New insights into atypical Alzheimer’s disease in the era of biomarkers Lancet Neurol 2021 20 222 234 10.1016/S1474-4422(20)30440-3 33609479 PMC8056394 · DOI · Paper page
  21. [30]Hampel H Cummings J Blennow K Gao P Jack CR Jr Vergallo A Developing the ATX(N) classification for use across the Alzheimer disease continuum Nat Rev Neurol. 2021 17 580 9 10.1038/s41582-021-00520-w 34239130 · DOI
  22. [31]Clark CM Pontecorvo MJ Beach TG Bedell BJ Coleman RE Doraiswamy PM Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-beta plaques: a prospective cohort study Lancet Neurol 2012 11 669 678 10.1016/S1474-4422(12)70142-4 22749065 · DOI · Paper page
  23. [32]Wolk DA Amyloid imaging in atypical presentations of Alzheimer’s disease Curr Neurol Neurosci Rep 2013 13 412 10.1007/s11910-013-0412-x 24136459 PMC3863595 · DOI
  24. [34]Ossenkoppele R Pichet Binette A Groot C Smith R Strandberg O Palmqvist S Amyloid and tau PET-positive cognitively unimpaired individuals are at high risk for future cognitive decline Nat Med 2022 28 2381 2387 10.1038/s41591-022-02049-x 36357681 PMC9671808 · DOI · Paper page
  25. [35]Strikwerda-Brown C Hobbs DA Gonneaud J St-Onge F Binette AP Ozlen H Association of elevated amyloid and Tau positron emission tomography signal with near-term development of Alzheimer disease symptoms in older adults without cognitive impairment JAMA Neurol 2022 79 975 985 10.1001/jamaneurol.2022.2379 35907254 PMC9339146 · DOI
  26. [36]Mecca AP Chen MK O’Dell RS Naganawa M Toyonaga T Godek TA In vivo measurement of widespread synaptic loss in Alzheimer’s disease with SV2A PET Alzheimers Dement 2020 16 974 982 10.1002/alz.12097 32400950 PMC7383876 · DOI · Paper page
  27. [37]Werry EL Bright FM Piguet O Ittner LM Halliday GM Hodges JR Recent developments in TSPO PET imaging as a biomarker of neuroinflammation in neurodegenerative disorders Int J Mol Sci 2019 20 3161 10.3390/ijms20133161 31261683 PMC6650818 · DOI
  28. [38]Vemuri P Jack CR Jr Role of structural MRI in Alzheimer’s disease Alzheimers Res Ther 2010 2 23 10.1186/alzrt47 20807454 PMC2949589 · DOI
  29. [39]Stebbins GT Murphy CM Diffusion tensor imaging in Alzheimer’s disease and mild cognitive impairment Behav Neurol 2009 21 39 49 10.1155/2009/915041 19847044 PMC3010401 · DOI · Paper page
  30. [40]Damoiseaux JS Resting-state fMRI as a biomarker for Alzheimer’s disease? Alzheimers Res Ther 2012 4 8 10.1186/alzrt106 22423634 PMC3334541 · DOI
  31. [41]Liu S, Buch S, Chen Y, Choi HS, Dai Y, Habib C, et al. Susceptibility-weighted imaging: current status and future directions. NMR Biomed. 2017;30:10.1002/nbm.3552. PMC5116013 27192086 · DOI
  32. [42]Ossenkoppele R Mattsson N Teunissen CE Barkhof F Pijnenburg Y Scheltens P Cerebrospinal fluid biomarkers and cerebral atrophy in distinct clinical variants of probable Alzheimer’s disease Neurobiol Aging 2015 36 2340 2347 10.1016/j.neurobiolaging.2015.04.011 25990306 PMC4465267 · DOI
  33. [44]Janelidze S Zetterberg H Mattsson N Palmqvist S Vanderstichele H Lindberg O CSF Aβ42/Aβ40 and Aβ42/Aβ38 ratios: better diagnostic markers of Alzheimer disease Ann Clin Transl Neurol 2016 3 154 165 10.1002/acn3.274 27042676 PMC4774260 · DOI · Paper page
  34. [45]Wattmo C Blennow K Hansson O Cerebro-spinal fluid biomarker levels: phosphorylated tau (T) and total tau (N) as markers for rate of progression in Alzheimer’s disease BMC Neurol 2020 20 10 10.1186/s12883-019-1591-0 31918679 PMC6951013 · DOI · Paper page
  35. [46]Beaufils E Dufour-Rainfray D Hommet C Brault F Cottier JP Ribeiro MJ Confirmation of the amyloidogenic process in posterior cortical atrophy: value of the Aβ42/Aβ40 ratio J Alzheimers Dis 2013 33 775 780 10.3233/JAD-2012-121267 22986776 · DOI
  36. [47]de Souza LC Bertoux M Funkiewiez A Samri D Azuar C Habert MO Frontal presentation of Alzheimer’s disease: a series of patients with biological evidence by CSF biomarkers Dement Neuropsychol 2013 7 66 74 10.1590/S1980-57642013DN70100011 29213822 PMC5619547 · DOI · Paper page
  37. [49]Benedet AL Milà-Alomà M Vrillon A Ashton NJ Pascoal TA Lussier F Differences between plasma and cerebrospinal fluid glial fibrillary acidic protein levels across the Alzheimer disease continuum JAMA Neurol 2021 78 1471 1483 10.1001/jamaneurol.2021.3671 34661615 PMC8524356 · DOI · Paper page
  38. [50]Liu W Lin H He X Chen L Dai Y Jia W Neurogranin as a cognitive biomarker in cerebrospinal fluid and blood exosomes for Alzheimer’s disease and mild cognitive impairment Transl Psychiatry 2020 10 125 10.1038/s41398-020-0801-2 32350238 PMC7190828 · DOI
  39. [51]Milà-Alomà M Brinkmalm A Ashton NJ Kvartsberg H Shekari M Operto G CSF synaptic biomarkers in the preclinical stage of Alzheimer disease and their association with MRI and PET: a cross-sectional study Neurology 2021 97 e2065 e2078 10.1212/WNL.0000000000012853 34556565 PMC8610620 · DOI
  40. [52]Muszyński P Groblewska M Kulczyńska-Przybik A Kułakowska A Mroczko B YKL-40 as a potential biomarker and a possible target in therapeutic strategies of Alzheimer’s disease Curr Neuropharmacol 2017 15 906 917 10.2174/1570159X15666170208124324 28183245 PMC5652033 · DOI
  41. [53]Teunissen CE Verberk IMW Thijssen EH Vermunt L Hansson O Zetterberg H Blood-based biomarkers for Alzheimer’s disease: towards clinical implementation Lancet Neurol 2022 21 66 77 10.1016/S1474-4422(21)00361-6 34838239 · DOI · Paper page
  42. [54]Cicognola C Janelidze S Hertze J Zetterberg H Blennow K Mattsson-Carlgren N Plasma glial fibrillary acidic protein detects Alzheimer pathology and predicts future conversion to Alzheimer dementia in patients with mild cognitive impairment Alzheimers Res Ther 2021 13 68 10.1186/s13195-021-00804-9 33773595 PMC8005231 · DOI
  43. [56]Steinacker P Semler E Anderl-Straub S Diehl-Schmid J Schroeter ML Uttner I Neurofilament as a blood marker for diagnosis and monitoring of primary progressive aphasias Neurology 2017 88 961 969 10.1212/WNL.0000000000003688 28179468 · DOI
  44. [57]Leonenko G Baker E Stevenson-Hoare J Sierksma A Fiers M Williams J Identifying individuals with high risk of Alzheimer’s disease using polygenic risk scores Nat Commun 2021 12 4506 10.1038/s41467-021-24082-z 34301930 PMC8302739 · DOI
  45. [58]van der Flier WM Schoonenboom SN Pijnenburg YA Fox NC Scheltens P The effect of APOE genotype on clinical phenotype in Alzheimer disease Neurology 2006 67 526 527 10.1212/01.wnl.0000228222.17111.2a 16894123 · DOI
  46. [59]Jack CR Jr Therneau TM Lundt ES Wiste HJ Mielke MM Knopman DS Long-term associations between amyloid positron emission tomography, sex, apolipoprotein E and incident dementia and mortality among individuals without dementia: hazard ratios and absolute risk Brain Commun. 2022 4 fcac017 10.1093/braincomms/fcac017 35310829 PMC8924651 · DOI
  47. [61]Chen YF Ma X Sundell K Alaka K Schuh K Raskin J Quantile regression to characterize solanezumab effects in Alzheimer’s disease trials Alzheimers Dement (N Y) 2016 2 192 198 10.1016/j.trci.2016.07.005 29067306 PMC5651345 · DOI
  48. [62]Arenaza-Urquijo EM Vemuri P Resistance vs resilience to Alzheimer disease: clarifying terminology for preclinical studies Neurology 2018 90 695 703 10.1212/WNL.0000000000005303 29592885 PMC5894932 · DOI
  49. [64]Engelborghs S De Vreese K Van de Casteele T Vanderstichele H Van Everbroeck B Cras P Diagnostic performance of a CSF-biomarker panel in autopsy-confirmed dementia Neurobiol Aging 2008 29 1143 1159 10.1016/j.neurobiolaging.2007.02.016 17428581 · DOI
  50. [65]Rabinovici GD Rosen HJ Alkalay A Kornak J Furst AJ Agarwal N Amyloid vs FDG-PET in the differential diagnosis of AD and FTLD Neurology 2011 77 2034 2042 10.1212/WNL.0b013e31823b9c5e 22131541 PMC3236517 · DOI · Paper page
  51. [66]Josephs KA Tosakulwong N Gatto RG Weigand SD Ali F Botha H Optimum differentiation of frontotemporal lobar degeneration from Alzheimer disease achieved with cross-sectional tau positron emission tomography Ann Neurol 2022 92 1016 1029 10.1002/ana.26479 36054427 PMC9804568 · DOI
  52. [67]Grothe MJ Moscoso A Silva-Rodriguez J Lange C Nho K Saykin AJ Differential diagnosis of amnestic dementia patients based on an FDG-PET signature of autopsy-confirmed LATE-NC Alzheimers Dement 2023 19 1234 1244 10.1002/alz.12763 35971593 PMC9929029 · DOI
  53. [68]Sitek EJ Barczak A Kluj-Kozlowska K Kozlowski M Barcikowska M Slawek J Is descriptive writing useful in the differential diagnosis of logopenic variant of primary progressive aphasia, Alzheimer’s disease and mild cognitive impairment? Neurol Neurochir Pol 2015 49 239 244 10.1016/j.pjnns.2015.06.001 26188940 · DOI
  54. [69]Bergeron D Sellami L Poulin S Verret L Bouchard RW Laforce R Jr The behavioral/dysexecutive variant of Alzheimer’s disease: a case series with clinical, neuropsychological, and FDG-PET characterization Dement Geriatr Cogn Disord 2020 49 518 525 10.1159/000511210 33207355 · DOI
  55. [71]Honig LS Barakos J Dhadda S Kanekiyo M Reyderman L Irizarry M ARIA in patients treated with lecanemab (BAN2401) in a phase 2 study in early Alzheimer’s disease Alzheimers Dement (N Y) 2023 9 e12377 10.1002/trc2.12377 36949897 PMC10026083 · DOI
  56. [72]Mielke MM Hagen CE Xu J Chai X Vemuri P Lowe VJ Plasma phospho-tau181 increases with Alzheimer’s disease clinical severity and is associated with tau- and amyloid-positron emission tomography Alzheimers Dement 2018 14 989 997 10.1016/j.jalz.2018.02.013 29626426 PMC6097897 · DOI · Paper page
  57. [73]Mattsson-Carlgren N Janelidze S Palmqvist S Cullen N Svenningsson AL Strandberg O Longitudinal plasma p-tau217 is increased in early stages of Alzheimer’s disease Brain 2020 143 3234 3241 10.1093/brain/awaa286 33068398 PMC7719022 · DOI · Paper page
  58. [74]Altomare D Ferrari C Caroli A Galluzzi S Prestia A van der Flier WM Prognostic value of Alzheimer’s biomarkers in mild cognitive impairment: the effect of age at onset J Neurol 2019 266 2535 2545 10.1007/s00415-019-09441-7 31267207 · DOI
  59. [75]Balasa M Gelpi E Antonell A Rey MJ Sánchez-Valle R Molinuevo JL Clinical features and APOE genotype of pathologically proven early-onset Alzheimer disease Neurology 2011 76 1720 1725 10.1212/WNL.0b013e31821a44dd 21576687 · DOI

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Sorted by citations

Authors
Dubois, B., von Arnim, C. A. F., Burnie, N., Bozeat, S., & Cummings, J.
Affiliations
  • Sorbonne Université (FR)
  • F. Hoffmann-La Roche AG (CH)
  • University of Nevada, Las Vegas (US)
Venue
Alzheimer's Research & Therapy
Published
2023-10-13
Volume
15
Issue
1
Pages
175-175
ISSN
1758-9193 (ISSN-L)
OpenAlex
W4387601800
Cited by
288
References
13
Citations by year
2026: 91 · 2025: 133 · 2024: 62 · 2023: 2
FWCI
13.15
Type
journal article
Language
en
Open access
Locations
  • Alzheimer s Research & Therapy (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • GoeScholar The Publication Server of the Georg-August-Universität Göttingen (Georg-August-Universität Göttingen) (submittedVersion, cc-by)
Funders
Roche Diagnostics International Ltd, Rotkreuz, Switzerland
Topics
  • Health Sciences › Medicine › Psychiatry and Mental health › Dementia and Cognitive Impairment Research
  • Health Sciences › Medicine › Physiology › Alzheimer's disease research and treatments
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Cancer-related cognitive impairment studies
Keywords
Alzheimer's disease, biomarkers, early diagnosis, differential diagnosis, atypical Alzheimer's disease, presymptomatic diagnosis, diagnostic criteria, disease-modifying therapy, patient communication
MeSH terms
Alzheimer Disease, Diagnosis, Differential, Humans, Biomarkers, Disease Progression, Recognition, Psychology

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